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DataConsistency and 2D plotting support #152

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DataConsistency and 2D plotting support #152

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vikashplus
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@vikashplus vikashplus commented Nov 17, 2024

  1. FEATURE: Explicitely marks the closure of the trace
  2. BUGFIX: Introduces create_datum. create_dataset is updated and is now reserved for adding full datasets (shouldn't be edited later). If appending is needed first create_datum() and then follow it with repeated calls to append_datum().
  3. BUGFIX: verify_type is stricter now. It goes beyond checking for root dtypes. It thoroughly checks for type, shapes, keys - even for nested structures. This implies that dict{datum} also needs to maintain its internal keys to support append leading to further consistency
  4. FEATURE: Much like rendering of rgb datasets, now trace supports plotting of numerical datasets using a list(grp_keys)_ng and list(list(dataset_keys))_ng
  5. TESTS: Adds multiple tests to check for data consistency and plotting consistency

1. FEATURE: Explicitely marks the closure of the trace
2. BUGFIX: Introduces create_datum. create_dataset is updated and is now reserved for adding full datasets (shouldn't be edited later). If appending is needed first create_datum() and then follow it with repeated calls to append_datum().
3. BUGFIX: verify_type is stricter now. It goes beyond checking for root dtypes. It thoroughly checks for type, shapes, keys - even for nested structures. This implies that dict{datum} also needs to maintain its internal keys to support append leading to further consistency
4. FEATURE: Much like rendering of rgb datasets, now trace supports plotting of numerical datasets using a list(grp_keys)_ng and list(list(dataset_keys))_ng
5. Adds multiple tests to check for data consistency and plotting consistency
assert np.issubdtype(ds_val.dtype, np.number), ValueError(f"Dataset for plotting needs to of numerical dtype. Provided dtype: {ds_val.dtype}")
assert len(ds_val.shape)<3, ValueError(f"Plotting is only supported for 1D and 2D Dataset. Provided data dims: {ds_val.shape}")

# print(f"g:{grp_key}/ d:{ds_key}")
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can we remove this comment?


# print(f"g:{grp_key}/ d:{ds_key}")
h_axis = plt.subplot(n_subplot, 1, i_grp+1)
# h_axis.set_prop_cycle(None)
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can we remove this comment?


# Check for group and datasets sizes
assert len(datasets)==n_subplot, ValueError(f"len(groups):{n_subplot} has to match len(datasets):{len(datasets)}")
# print(groups)
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can we remove these comments?

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3 participants